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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...

Ahmmed, B. Stanford University

Apr 04, 2022
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TEAMER: Public Initial Optimization of a Vessel-mounted Removable Current Energy Converter

This project focuses on developing a numerical tool to estimate the Levelized Cost of Energy (LCOE) for vessel-mounted hydrokinetic turbines. By leveraging open-source software and public-domain data, the tool evaluates energy capture and costs for deploying turbines on vessels in...

Forbush, D. et al Sandia National Laboratories

Jul 31, 2024
4 Resources
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

TEAMER: Public Initial Optimization of a Vessel-mounted Removable Current Energy Converter